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OceanStor 9000 Big Data Healthy for Hospitals

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OceanStor 9000 Big Data Healthy for Hospitals

2016/2/1 0:00:00


The First Affiliate Hospital of Zhengzhou University (TFAHZU) boasts excellent treatment capabilities and abundant resources in education, research, preventive care, and treatment. They accept more 10,000 outpatients each day and double that number under extreme conditions. 

TFAHZU uses hospital-wide Hospital Information Systems (HIS), Laboratory Information Systems (LIS), and Picture Archiving and Communications Systems (PACS) in operating the hospital. They also practice:

  • Mobile patient follow-ups
  • Mobile nursing
  • Electronic patient history management
  • Clinical path management
  • Card-based treatment procedure handling


TFAHZU needed a telemedicine platform to efficiently provision healthcare resources, allocate illness-specific resources, enhance collaboration, and drive regional healthcare growth.

The first phase of the project was for provincial and county level hospitals. It joined 108 hospitals into a service network with 128 remote diagnosis devices. In addition, the platform connected multiple hospitals from other provinces in its 15 subsystems, including the:

  • Collaborative healthcare management platform
  • Remote comprehensive consultation system
  • Remote image-based diagnosis system.

It is the first platform capable of delivering remote consultation services and offers:

  • Communications
  • Emergency command
  • Remote consultation
  • Image transfer
  • Video conferencing
  • Online appointments
  • Two-way referrals
  • Health management
  • Remote education and training
  • Digital resource sharing

As TFAHZU’s telemedicine system expanded, the amount of patient history, diagnosis, treatment, and PACS imaging data soared. The hospital faced 4 main challenges.

Data retention

Telemedicine generates massive amounts of data that must be stored for 15 years in compliance with Chinese health regulations. The hospital required 10 PB of space to comfortably meet the mandated storage requirements.

System speed

Slow data reads and writes occurred  when large numbers of users accessed the system at the same time. Access latency under high concurrent access conditions severely affected telemedicine services. 

Big Data

Healthcare Big Data analysis is essential to TFAHZU’s efforts to improve the efficiency of healthcare delivery. Analytics are invaluable in improving clinical decision-making, patient archive analysis, pathological analysis, and patient-specific treatment capabilities.

Disaster recovery

To enhance availability, reliability, and security in its data center, TFAHZU required a storage system in its disaster recovery center. 


The second phase of TFAHZU’s project combined provincial, municipal, county, and township-level healthcare units in a joint telemedicine service system. Data exchange capabilities were enabled between provincial and municipal hospitals, with a DR center for the provincial data center. Eighteen secondary telemedicine centers were planned for the municipal level and more township-level units will eventually be added. Huawei developed a storage and disaster recovery center for the Big Data platform serving secondary centers. 

Network topology of primary and disaster recovery sites

Network topology of primary and disaster recovery sites

Big Data platform

The Big Data platform uses a Huawei OceanStor 9000 Big Data Storage System as a storage resource pool and a FusionInsight Hadoop computing cluster as the computing platform. It provides analysis services by enabling upper-layer analysis software to interconnect with the telemedicine platform.

In the DR center, Huawei deployed the same system as the one in the production center. The two centers are synchronized through the OceanStor 9000’s remote replication function.

Online Big Data storage

The platform stores data generated by managed hospitals and provides upper-layer telemedicine applications with Hadoop Distributed File System (HDFS), Network File System (NFS), and Common Internet Files System (CIFS) interfaces for rapid access and retrieval during peak hours. 

Big Data analysis and processing

A Big Data analysis and processing platform based on the Hadoop parallel computing framework and a comprehensive data warehouse was built for Electrocardiogram (ECG), patient history, diagnosis and treatment, billing, and hospital management data. The platform enabled telemedicine statistics and analysis 

Big Data mining

To mine the data, Hadoop-based parallel machine learning algorithms, including clustering, categorization, and regression algorithms, are available along with data characteristic management, visualized data processing operators, and application modeling capabilities. Huawei’s Big Data solutions also support the analysis of structured, semi-structured, and unstructured image data.


The OceanStor 9000 can expand storage capacity to the 10+ PB range, which meets TFAHZU’s needs for the next 5 years. It also has a maximum bandwidth of 400 GB/s, which is sufficient for high access concurrency.

TFAHZU can easily add storage nodes on demand without having to make trade-offs in performance. As the number of platform nodes grows, throughput will increase linearly. 


One-stop solution

In addition to providing needed storage capability for healthcare data, Huawei helped TFAHZU build the first medical Big Data analysis platform and the biggest telemedicine platform in China.


Storage capacity can expand from hundreds of TB to more than 10 PB. 

Rapid healthcare provisioning

Rapid provisioning of healthcare resources and real-time information capture and retrieval.

Kan Quancheng, Vice President of Zhengzhou University and Director of TFAHZU, found Huawei’s performance impressive. “Our ultimate goal in building this telemedicine platform is to construct a smart, network-based hospital. The platform will efficiently provision healthcare resources, promote illness-specific resource allocation, enhance institute collaboration, and drive regional healthcare development. The telemedicine and healthcare Big Data innovation center co-built with Huawei will play a significant role in promoting telemedicine applications and expanding the scope and coverage for telemedicine services.”

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